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Implement outlier detection step. #979

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mairanteodoro
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@mairanteodoro mairanteodoro commented Nov 7, 2023

Resolves RCAL-501

This PR addresses the implementation of the outlier detection step for Roman.

The link to the regression test results is here.

Checklist

  • added entry in CHANGES.rst under the corresponding subsection
  • updated relevant tests
  • updated relevant documentation
  • updated relevant milestone(s)
  • added relevant label(s)
  • ran regression tests, post a link to the Jenkins job below. How to run regression tests on a PR

@github-actions github-actions bot added the dependencies Pull requests that update a dependency file label Nov 7, 2023
@mairanteodoro mairanteodoro force-pushed the RCAL-501-outlier-detection branch from 117c148 to 76c6cf4 Compare November 7, 2023 20:21
@mairanteodoro mairanteodoro marked this pull request as ready for review November 7, 2023 20:22
@mairanteodoro mairanteodoro requested a review from a team as a code owner November 7, 2023 20:22
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codecov bot commented Nov 7, 2023

Codecov Report

Attention: 306 lines in your changes are missing coverage. Please review.

Files Coverage Δ
romancal/lib/dqflags.py 100.00% <ø> (ø)
romancal/resample/resample.py 72.47% <37.50%> (-5.54%) ⬇️
romancal/datamodels/container.py 75.75% <9.52%> (-12.54%) ⬇️
...mancal/outlier_detection/outlier_detection_step.py 21.78% <19.38%> (-13.94%) ⬇️
romancal/outlier_detection/outlier_detection.py 15.96% <15.96%> (ø)

📢 Thoughts on this report? Let us know!

@mairanteodoro
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I found an issue with my rebasing; will fix it.

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